Postgraduate Course: Further Spatial Analysis (PGGE11085)
Course Outline
| School |
School of Geosciences |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Postgraduate Courses (School of GeoSciences) |
Other subject area |
None |
| Course website |
http://www.geos.ed.ac.uk/ |
|
|
| Course description |
This course examines some further methods of spatial analysis, with an emphasis on exploratory data analysis and the analysis of point data. Lecture topics include exploratory spatial data analysis, spatial interpolation, fundamentals of geostatistics, the handling of error and uncertainty in spatial data analysis. In addition to the lectures, students will undertake a practical introducing data interpolation and a project with the Geoda exploratory spatial data analysis software. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Block 2 (Sem 1), Not available to visiting students (SS1)
|
WebCT enabled: Yes |
Quota: 60 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
|
| Delivery period: 2010/11 Block 4 (Sem 2), Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
Week 6, Thursday, 14:00 - 18:00, Zone: Central. Lecture - Darwin Rm 4.09, Lab 1.26 Geography, Drummond |
Summary of Intended Learning Outcomes
By the end of this module, students should have achieved and demonstrated, or be able to achieve and demonstrate, the ability to:
- understand the uncertainty associated with many geographical data that are stored in GIS;
-understand the value of visual and statistical methods of exploratory spatial data analysis;
-understand the assumptions and use of the more common methods for interpolating point based observations to create data surfaces, including the fundamental principles of geostatistics;
-appreciate how errors may occur when data is conflated for analysis;
-have basic practical knowledge of how to conduct interpolation in GIS;
-have basic practical knowledge how to conduct exploratory spatial data analsysi with software such as Geoda;
-have developed skills in presenting technical information about a method of analysis by oral and written means;
-locate, read and summarise relevant literature, from both traditional and electronic media, to extend your understanding of the topics;
-develop reasoned arguments, firmly grounded in the available literature;
-plan and write assignments, within the specified parameters and to a professional standard;
-take responsibility for your own learning through reading and the preparation of assignments, and reflect upon your learning experience. |
Assessment Information
100% coursework
|
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Neil Stuart
Tel: (0131 6)50 2549
Email: N.Stuart@ed.ac.uk |
Course secretary |
Mrs Consuelo Fox
Tel: (0131 6)50 2543
Email: connie.fox@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:26 am
|
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